{"id":"W2907449123","doi":"10.1016/j.enbuild.2018.12.016","title":"Experimental investigation of latent heat thermal energy storage using PCMs with different melting temperatures for building retrofit","year":2019,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Phase Change Materials Research","field":"Engineering","cited_by":169,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Latent heat; Thermal energy storage; Phase-change material; Materials science; Thermal comfort; Thermal; Environmental science; Context (archaeology); Composite material; Meteorology; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001031564,0.0001857782,0.0002451781,0.0001203955,0.00007484651,0.00005736393,0.00009219952,0.00007753166,0.00002776741],"category_scores_gemma":[0.0000050628,0.0001480728,0.00003636609,0.00009250312,0.00004708651,0.000168648,0.00005518851,0.00005712364,7.907007e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008147986,"about_ca_system_score_gemma":0.00001056768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001544546,"about_ca_topic_score_gemma":0.000005429856,"domain_scores_codex":[0.9991369,0.00002658079,0.0001790984,0.0002110152,0.0001769602,0.0002694944],"domain_scores_gemma":[0.9996821,0.00004601486,0.00003640533,0.0001228371,0.00003519761,0.00007739375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000739536,0.000009301315,0.0008869632,0.00009761873,0.00004383527,0.000001909867,0.0002651472,0.008437128,0.9883224,0.00171441,0.00001477879,0.0001324899],"study_design_scores_gemma":[0.0005692487,0.0001379286,0.0002768569,0.0001629174,0.000009714531,0.000007505799,0.00005952243,0.04273639,0.9557008,0.00004254833,0.0001196561,0.000176977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961914,0.0008469656,0.002568038,0.00001263452,0.0001778904,0.00009711193,0.00001021313,0.00006421054,0.00003157252],"genre_scores_gemma":[0.9981889,0.00002281132,0.001499021,0.00002560028,0.0001340135,0.00002806735,0.00001719207,0.00004819729,0.00003620987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03429926,"threshold_uncertainty_score":0.6038232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060264084842263,"score_gpt":0.2442237062147637,"score_spread":0.2236210653663411,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}